Data Scientist

Role & responsibilities

• Advanced degree in an analytical field (e.g., Data Science, Computer Science,

Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands

on work experience in the space

• 4 - 8 Years of relevant experience in the space
• Expertise in mining AI/ML opportunities from open ended business problems

and drive solution design/development while closely collaborating with

engineering, product and business teams

• Strong understanding of advanced data mining techniques, curating, processing

and transforming data to produce sound datasets

• Create great data stories with expertise in robust EDA and statistical inference.

Experience in Experimentation design a big plus but should understands

fundamentals of A/B testing

• Strong understanding of the Machine Learning lifecycle - feature engineering,training, validation, scaling, deployment, scoring, monitoring, and feedback loop.

Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch,

Caffe is a big plus

• Experience with analytical programming languages, tools and libraries (Python a

must) as well as Shell scripting

• Very proficient is SQL and other relational databases. Proficient in PySpark.

Experience in using NoSQL databases. Candidate who is able to handle

unstructured data with ease preferred

• Experience in working with AWS/Azure/GCP ecosystems. MLOps tools

experience a plus

• Good understanding of programming best practices and building code artifacts

for reuse. Should be comfortable with version controlling and collaborate

comfortably in tools like git

• Ability to create frameworks that can perform model RCAs using analytical and

interpretability tools. Should be able to peer review model

documentations/code bases and find opportunities

• Experience in end-to-end delivery of AI driven Solutions (Deep learning ,

traditional data science projects) a big plus

• Strong communication, partnership and teamwork skills
• Ability to work in an extremely fast paced environment, meet deadlines, and

perform at high standards with limited supervision

• A self-starter who is looking to build grounds up and contribute to the making of

a potential big name in the space

• Experience in Banking and financial services is a plus. However, sound logical

reasoning and first principles problem solving are even more critical